{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,11,7]],"date-time":"2022-11-07T05:11:47Z","timestamp":1667797907272},"reference-count":29,"publisher":"Springer Science and Business Media LLC","issue":"39-40","license":[{"start":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T00:00:00Z","timestamp":1597190400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T00:00:00Z","timestamp":1597190400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"published-print":{"date-parts":[[2020,10]]},"DOI":"10.1007\/s11042-020-09491-4","type":"journal-article","created":{"date-parts":[[2020,8,12]],"date-time":"2020-08-12T01:02:39Z","timestamp":1597194159000},"page":"29799-29824","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Texture image segmentation using Vonn mixtures-based hidden Markov tree model and relative phase"],"prefix":"10.1007","volume":"79","author":[{"given":"Pan-pan","family":"Niu","sequence":"first","affiliation":[]},{"given":"Li","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xin","family":"Shen","sequence":"additional","affiliation":[]},{"given":"Qian","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Xiang-yang","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,8,12]]},"reference":[{"issue":"9","key":"9491_CR1","doi-asserted-by":"publisher","first-page":"1309","DOI":"10.1109\/83.941855","volume":"10","author":"H Choi","year":"2001","unstructured":"Choi H, Baraniuk RG (2001) Multiscale image segmentation using wavelet-domain hidden Markov models. IEEE Trans Image Process 10(9):1309\u20131321","journal-title":"IEEE Trans Image Process"},{"key":"9491_CR2","doi-asserted-by":"publisher","first-page":"884","DOI":"10.1016\/j.imavis.2014.07.002","volume":"32","author":"C Dharmagunawardhana","year":"2014","unstructured":"Dharmagunawardhana C, Mahmoodi S, Bennett M, Niranjan M (2014) Gaussian Markov random field based improved texture descriptor for image segmentation. Image Vis Comput 32:884\u2013895","journal-title":"Image Vis Comput"},{"key":"9491_CR3","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1016\/j.jvcir.2014.01.014","volume":"25","author":"FF Dong","year":"2014","unstructured":"Dong FF, Peng JL (2014) Brain MR image segmentation based on local Gaussian mixture model and nonlocal spatial regularization. J Vis Commun Image Represent 25:827\u2013839","journal-title":"J Vis Commun Image Represent"},{"key":"9491_CR4","doi-asserted-by":"publisher","first-page":"60505","DOI":"10.1109\/ACCESS.2020.2982197","volume":"8","author":"N Feng","year":"2020","unstructured":"Feng N, Geng X, Qin L (2020) Study on MRI medical image segmentation technology based on CNN-CRF model. IEEE Access 8:60505\u201360514","journal-title":"IEEE Access"},{"key":"9491_CR5","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1016\/j.patcog.2016.09.014","volume":"63","author":"G Gao","year":"2017","unstructured":"Gao G, Wen C, Wang H (2017) Fast and robust image segmentation with active contours and Student\u2019s-t mixture model. Pattern Recogn 63:71\u201386","journal-title":"Pattern Recogn"},{"key":"9491_CR6","doi-asserted-by":"publisher","first-page":"354","DOI":"10.1016\/j.patcog.2017.10.013","volume":"77","author":"J Gu","year":"2018","unstructured":"Gu J, Wang Z, Kuen J, Ma L, Shahroudy A, Shuai B, Liu T, Wang X, Wang G, Cai J, Chen T (2018) Recent advances in convolutional neural networks. Pattern Recogn 77:354\u2013377","journal-title":"Pattern Recogn"},{"key":"9491_CR7","unstructured":"Haindl M, Mikes S (2006) Unsupervised texture segmentation using multispectral modeling approach. IEEE International Conference on Pattern Recognition (ICPR), Hong Kong, China, 2: 203\u2013206"},{"key":"9491_CR8","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.image.2015.04.010","volume":"35","author":"PR Hill","year":"2015","unstructured":"Hill PR, Anantrasirichai N, Achim A, AlMualla ME, Bull DR (2015) Undecimated dual-tree complex wavelet transforms. Signal Process Image Commun 35:61\u201370","journal-title":"Signal Process Image Commun"},{"key":"9491_CR9","doi-asserted-by":"crossref","unstructured":"Karadag OO, Yarman Vural FT. The Image segmentation by fusion of low level and domain specific information via Markov Random Fields. Pattern Recogn Lett, 2014, 46: 75\u201382.","DOI":"10.1016\/j.patrec.2014.05.010"},{"issue":"4","key":"9491_CR10","doi-asserted-by":"publisher","first-page":"1994","DOI":"10.1109\/TIP.2018.2792904","volume":"27","author":"M Kiechle","year":"2018","unstructured":"Kiechle M, Storath M, Weinmann A, Kleinsteuber M (2018) Model-based learning of local image features for unsupervised texture segmentation. IEEE Trans Image Process 27(4):1994\u20132007","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"9491_CR11","doi-asserted-by":"publisher","first-page":"234","DOI":"10.1006\/acha.2000.0343","volume":"10","author":"N Kingsbury","year":"2001","unstructured":"Kingsbury N (2001) Complex wavelets for shift invariant analysis and filtering of signals. J Appl Comput Harmon Anal 10(3):234\u2013253","journal-title":"J Appl Comput Harmon Anal"},{"key":"9491_CR12","doi-asserted-by":"publisher","first-page":"116925","DOI":"10.1109\/ACCESS.2019.2936017","volume":"7","author":"H Kurnianingsih","year":"2019","unstructured":"Kurnianingsih H, Khalid SA, Lukito EN, Widyawan (2019) Segmentation and classification of cervical cells using deep learning. IEEE Access 7:116925\u2013116941","journal-title":"IEEE Access"},{"issue":"5","key":"9491_CR13","doi-asserted-by":"publisher","first-page":"2246","DOI":"10.1109\/TIP.2014.2313232","volume":"23","author":"NE Lasmar","year":"2014","unstructured":"Lasmar NE, Berthoumieu Y (2014) Gaussian copula multivariate modeling for texture image retrieval using wavelet transforms. IEEE Trans Image Process 23(5):2246\u20132261","journal-title":"IEEE Trans Image Process"},{"issue":"11","key":"9491_CR14","doi-asserted-by":"publisher","first-page":"2453","DOI":"10.1109\/TMI.2018.2835303","volume":"37","author":"C Liang","year":"2018","unstructured":"Liang C, Paul B, Kensaku M, Kazunari M (2018) DRINet for medical image segmentation. IEEE Trans Med Imaging 37(11):2453\u20132462","journal-title":"IEEE Trans Med Imaging"},{"key":"9491_CR15","doi-asserted-by":"publisher","first-page":"1109","DOI":"10.1109\/JSTARS.2020.2974276","volume":"13","author":"R Liu","year":"2020","unstructured":"Liu R, Jiang D, Zhang L, Zhang Z (2020) Deep depthwise separable convolutional network for change detection in optical aerial images. IEEE J Select Topics Appl Earth Observ Remote Sens 13:1109\u20131118","journal-title":"IEEE J Select Topics Appl Earth Observ Remote Sens"},{"issue":"8","key":"9491_CR16","doi-asserted-by":"publisher","first-page":"1509","DOI":"10.1109\/TMI.2012.2190617","volume":"31","author":"M Pereyra","year":"2012","unstructured":"Pereyra M, Dobigeon N, Batatia H, Tourneret JY (2012) Segmentation of skin lesions in 2D and 3D ultrasound images using a spatially coherent generalized Rayleigh mixture model. IEEE Trans Med Imaging 31(8):1509\u20131520","journal-title":"IEEE Trans Med Imaging"},{"issue":"7","key":"9491_CR17","doi-asserted-by":"publisher","first-page":"1902","DOI":"10.1109\/TIP.2007.899612","volume":"16","author":"KP Pyun","year":"2007","unstructured":"Pyun KP, Lim J, Won CS (2007) Image segmentation using hidden Markov gauss mixture models. IEEE Trans Image Process 16(7):1902\u20131911","journal-title":"IEEE Trans Image Process"},{"issue":"11","key":"9491_CR18","doi-asserted-by":"publisher","first-page":"384","DOI":"10.3390\/e18110384","volume":"18","author":"Y Qiao","year":"2016","unstructured":"Qiao Y, Zhao G (2016) Texture segmentation using Laplace distribution-based wavelet-domain hidden Markov tree models. Entropy 18(11):384","journal-title":"Entropy"},{"key":"9491_CR19","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.compeleceng.2018.04.004","volume":"68","author":"R Riad","year":"2018","unstructured":"Riad R, Jennane R, Brahim A, Janvier T (2018) Texture analysis using complex wavelet decomposition for knee osteoarthritis detection: data from the osteoarthritis initiative. Comput Electr Eng 68:181\u2013191","journal-title":"Comput Electr Eng"},{"key":"9491_CR20","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/j.neucom.2017.01.113","volume":"277","author":"Y Song","year":"2018","unstructured":"Song Y, Zhang S, He B, Sha Q, Shen Y, Yan T, Nian R, Lendasse A (2018) Gaussian derivative models and ensemble extreme learning machine for texture image classification. Neurocomputing 277:53\u201364","journal-title":"Neurocomputing"},{"issue":"4","key":"9491_CR21","doi-asserted-by":"publisher","first-page":"621","DOI":"10.1109\/TCSVT.2012.2211176","volume":"23","author":"MN Thanh","year":"2013","unstructured":"Thanh MN, Jonathan WQM (2013) Fast and robust spatially constrained Gaussian mixture model for image segmentation. IEEE Trans Circuits Syst Video Technol 23(4):621\u2013634","journal-title":"IEEE Trans Circuits Syst Video Technol"},{"key":"9491_CR22","doi-asserted-by":"publisher","first-page":"158183","DOI":"10.1109\/ACCESS.2019.2950228","volume":"7","author":"AS Toufique","year":"2019","unstructured":"Toufique AS, Ahmed JA, Ahmed AS (2019) Impact of image enhancement technique on CNN model for retinal blood vessels segmentation. IEEE Access 7:158183\u2013158197","journal-title":"IEEE Access"},{"issue":"1","key":"9491_CR23","doi-asserted-by":"publisher","first-page":"114","DOI":"10.1016\/j.sigpro.2010.06.014","volume":"91","author":"A Vo","year":"2011","unstructured":"Vo A, Oraintara S, Nguyen N (2011) Vonn distribution of relative phase for statistical image modeling in complex wavelet domain. Signal Process 91(1):114\u2013125","journal-title":"Signal Process"},{"key":"9491_CR24","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.asoc.2014.12.023","volume":"29","author":"XY Wang","year":"2015","unstructured":"Wang XY, Sun WW, Wu ZF, Yang HY, Wang QY (2015) Color image segmentation using PDTDFB domain hidden Markov tree model. Appl Soft Comput 29:138\u2013152","journal-title":"Appl Soft Comput"},{"key":"9491_CR25","doi-asserted-by":"publisher","first-page":"2944","DOI":"10.1109\/TIFS.2020.2980791","volume":"15","author":"C Wang","year":"2020","unstructured":"Wang C, Muhammad J, Wang Y, He Z, Sun Z (2020) Towards complete and accurate iris segmentation using deep multi-task attention network for non-nooperative iris recognition. IEEE Trans Inform Forensics Secur 15:2944\u20132959","journal-title":"IEEE Trans Inform Forensics Secur"},{"key":"9491_CR26","doi-asserted-by":"publisher","first-page":"340","DOI":"10.1016\/j.patcog.2018.02.012","volume":"79","author":"M Xian","year":"2018","unstructured":"Xian M, Zhang Y, Cheng HD, Xu F, Zhang B, Ding J (2018) Automatic breast ultrasound image segmentation: a survey. Pattern Recogn 79:340\u2013355","journal-title":"Pattern Recogn"},{"issue":"11","key":"9491_CR27","doi-asserted-by":"publisher","first-page":"3488","DOI":"10.1109\/TIP.2015.2446948","volume":"24","author":"J Yuan","year":"2015","unstructured":"Yuan J, Wang D, Cheriyadat AM (2015) Factorization-based texture segmentation. IEEE Trans Image Process 24(11):3488\u20133497","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"9491_CR28","doi-asserted-by":"publisher","first-page":"2811","DOI":"10.1016\/j.patcog.2011.04.012","volume":"44","author":"Y Zhang","year":"2011","unstructured":"Zhang Y, He Z, Zhang Y (2011) Global optimization of wavelet-domain hidden Markov tree for image segmentation. Pattern Recogn 44(12):2811\u20132818","journal-title":"Pattern Recogn"},{"issue":"3","key":"9491_CR29","doi-asserted-by":"publisher","first-page":"240","DOI":"10.1049\/iet-ipr.2012.0340","volume":"7","author":"H Zhang","year":"2013","unstructured":"Zhang H, Wu Q, Nguyen TM (2013) Image segmentation by a new weighted Student\u2019s t-mixture model. IET Image Process 7(3):240\u2013251","journal-title":"IET Image Process"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09491-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-020-09491-4\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-020-09491-4.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,6]],"date-time":"2022-11-06T15:57:22Z","timestamp":1667750242000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-020-09491-4"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,8,12]]},"references-count":29,"journal-issue":{"issue":"39-40","published-print":{"date-parts":[[2020,10]]}},"alternative-id":["9491"],"URL":"https:\/\/doi.org\/10.1007\/s11042-020-09491-4","relation":{},"ISSN":["1380-7501","1573-7721"],"issn-type":[{"value":"1380-7501","type":"print"},{"value":"1573-7721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,8,12]]},"assertion":[{"value":"13 August 2019","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"1 July 2020","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"29 July 2020","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 August 2020","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}